{"id":"https://openalex.org/W4411010161","doi":"https://doi.org/10.1145/3728725.3728756","title":"Aspect-based Capsule Neural Networks for Sentiment Analysis of Sensitive Information","display_name":"Aspect-based Capsule Neural Networks for Sentiment Analysis of Sensitive Information","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411010161","doi":"https://doi.org/10.1145/3728725.3728756"},"language":"en","primary_location":{"id":"doi:10.1145/3728725.3728756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728756","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728756","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087484875","display_name":"Keyu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Wu","raw_affiliation_strings":["School of Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0005-2497-7224","affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingyi Fu","orcid":"https://orcid.org/0009-0003-8901-3800"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Fu","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0003-8901-3800","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101975475","display_name":"Wenfang Zhang","orcid":"https://orcid.org/0000-0003-4211-0438"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfang Zhang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4211-0438","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05688685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7025818824768066},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.559723436832428},{"id":"https://openalex.org/keywords/capsule","display_name":"Capsule","score":0.5183385610580444},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5039579272270203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4539385735988617},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07752406597137451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7025818824768066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.559723436832428},{"id":"https://openalex.org/C2778778583","wikidata":"https://www.wikidata.org/wiki/Q147768","display_name":"Capsule","level":2,"score":0.5183385610580444},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5039579272270203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4539385735988617},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07752406597137451},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3728725.3728756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728756","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728725.3728756","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728756","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728756","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411010161.pdf","grobid_xml":"https://content.openalex.org/works/W4411010161.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2024011160","https://openalex.org/W2122412231","https://openalex.org/W2772317411","https://openalex.org/W2792883466","https://openalex.org/W3083435909","https://openalex.org/W3118681031","https://openalex.org/W3202673244","https://openalex.org/W4388591175","https://openalex.org/W4392295651","https://openalex.org/W4400388091"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2358162314","https://openalex.org/W2357652707","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2365313273","https://openalex.org/W2941935829","https://openalex.org/W2596247554"],"abstract_inverted_index":{"To":[0,51],"address":[1],"the":[2,21,36,57,93],"need":[3],"for":[4,108],"accurate":[5],"sentiment":[6,15,78],"masking":[7],"of":[8,24,38],"sensitive":[9,12,62,101,109],"words":[10,63],"in":[11,97],"information,":[13],"traditional":[14],"analysis":[16,79],"methods":[17],"can":[18],"only":[19],"assess":[20],"overall":[22],"polarity":[23],"a":[25,104],"sentence,":[26],"while":[27],"existing":[28],"Aspect-Based":[29],"Sentiment":[30],"Analysis":[31],"(ABSA)":[32],"mostly":[33],"focuses":[34],"on":[35],"field":[37],"commodity":[39],"reviews,":[40],"and":[41,49,75],"insufficiently":[42],"handles":[43],"phenomena":[44],"such":[45],"as":[46,64],"complex":[47],"contexts":[48],"irony.":[50],"this":[52,54],"end,":[53],"paper":[55],"proposes":[56],"CapABSA":[58],"model,":[59],"which":[60],"takes":[61],"aspects,":[65],"combines":[66],"capsule":[67],"neural":[68],"networks":[69],"to":[70,81,86],"capture":[71],"multidimensional":[72],"semantic":[73],"features,":[74],"migrates":[76],"document-based":[77],"(DBSA)":[80],"ABSA":[82],"through":[83],"transfer":[84],"learning":[85],"improve":[87],"classification":[88],"performance.":[89],"Experiments":[90],"show":[91],"that":[92],"model":[94],"performs":[95],"effectively":[96],"sentence":[98],"datasets":[99],"containing":[100],"words,":[102],"providing":[103],"more":[105],"fine-grained":[106],"solution":[107],"information":[110],"filtering.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
